PUBLICATION
Spatial gradients and multidimensional dynamics in a neural integrator circuit
- Authors
- Miri, A., Daie, K., Arrenberg, A.B., Baier, H., Aksay, E., and Tank, D.W.
- ID
- ZDB-PUB-110823-21
- Date
- 2011
- Source
- Nature Neuroscience 14(9): 1150-9 (Journal)
- Registered Authors
- Arrenberg, Aristides, Baier, Herwig
- Keywords
- none
- MeSH Terms
-
- Neurons/physiology*
- Microphthalmia-Associated Transcription Factor/deficiency
- Photic Stimulation/methods
- Brain Stem/cytology
- Larva
- Zebrafish Proteins/deficiency
- Zebrafish Proteins/genetics
- Functional Laterality
- Time Factors
- Nonlinear Dynamics*
- Gene Expression Regulation/genetics
- Gene Expression Regulation/physiology
- Light
- Animals, Genetically Modified
- Action Potentials
- Eye Movements/genetics
- Eye Movements/physiology*
- Computer Simulation
- Calcium/metabolism
- Models, Neurological
- Zebrafish
- Animals
- Nerve Net/physiology*
- PubMed
- 21857656 Full text @ Nat. Neurosci.
Citation
Miri, A., Daie, K., Arrenberg, A.B., Baier, H., Aksay, E., and Tank, D.W. (2011) Spatial gradients and multidimensional dynamics in a neural integrator circuit. Nature Neuroscience. 14(9):1150-9.
Abstract
In a neural integrator, the variability and topographical organization of neuronal firing-rate persistence can provide information about the circuit's functional architecture. We used optical recording to measure the time constant of decay of persistent firing (persistence time) across a population of neurons comprising the larval zebrafish oculomotor velocity-to-position neural integrator. We found extensive persistence time variation (tenfold; coefficients of variation = 0.58?1.20) across cells in individual larvae. We also found that the similarity in firing between two neurons decreased as the distance between them increased and that a gradient in persistence time was mapped along the rostrocaudal and dorsoventral axes. This topography is consistent with the emergence of persistence time heterogeneity from a circuit architecture in which nearby neurons are more strongly interconnected than distant ones. Integrator circuit models characterized by multiple dimensions of slow firing-rate dynamics can account for our results.
Genes / Markers
Expression
Phenotype
Mutations / Transgenics
Human Disease / Model
Sequence Targeting Reagents
Fish
Orthology
Engineered Foreign Genes
Mapping